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OUTLINE
OF
NAP 2020
Background and Key Achievements of NAP 2014
National Automotive Vision
Malaysian Vehicle Project
Framework & Objectives of NAP 2020
New Elements in NAP 2020
Targets
CMV
Conclusion
2
BACKGROUND OF NAP
POLICY DRIVEN VISION DRIVES POLICY
SUPPLY CHAIN INTEGRATION
INVESTMENTS PROMOTION
GREEN AND SUSTAINABILITY
CONNECTED MOBILITY
NAP 2006(2006-2009)
NAP 2009(2009-2014)
NAP 2014 (2014-2020)
NAP 2020(2020-2030)
ADOPTED POLICY REVIEWED FOCUSED ENHANCED
Introduced to transform the domestic automotive industry and integrating it into the increasingly competitive regional and global industry network.
Reviewed to enhance the capability and competitiveness of the domestic automotive industry.
Focused on developing Malaysia as the hub for Energy Efficient Vehicle (EEV)
Enhance Malaysia’s automotive industry in the era of digital industrial transformation.
4
KEY
ACHIEVEMENTS
OF NAP 2014
62% TIV EEV PENETRATION IN 2018 (FROM 14.1% IN 2014)
RM12.1 BIL COMPONENTS EXPORTED IN 2018 (FROM RM4.7 BILLION IN 2014)
405 VENDORS CAPABLE TO BE OEMS’ SUPPLIERS IN 2018 (FROM 277 IN 2014)• LEVEL 5: 55 COMPANIES• LEVEL 4: 130 COMPANIES• LEVEL 3: 405 COMPANIES
RM10.05 BIL OF TOTAL INVESTMENTS (2014 TO 2018)
RM58.7 BIL LOCAL CONTENTS USED (2014 TO 2018)
247,177 EMPLOYMENT IN AUTOMOTIVE INDUSTRY (2014 TO 2018)
RM2.08 BIL WORTH OF CBU VEHICLES (2018)
RM48.6 BIL WORTH OF GDP CONTRIBUTION (MANUFACTURING)) (2018)
564,971 UNITS OF TOTAL PRODUCTION VOLUME (TPV) (2018)
598,704 UNITS OF TOTAL INDUSTRY VOLUME (TIV) (2018)
RM523.1 MIL WORTH OF REMANUFACTURED AUTOMOTIVE PARTS AND COMPONENTS (2018)
ESTABLISHMENT OF TWO AUTOMOTIVE SPECIALIZED DESIGN ANDENGINEERING CENTERS (MALAYSIA TECHNOLOGY CENTRE AND NETC) (2014-2018)
5
• To become a regional leader in manufacturing, engineering, technology and sustainable
development in the automotive sector
• The National Automotive Vision will support the establishment and development of
existing projects and Malaysian Vehicle Project7
NAP 2020:
NATIONAL AUTOMOTIVE VISION
0102
0304
05SUPPLY CHAIN
INTEGRATION
Malaysia as the hub for:
• Export of vehicles;
• Exports of components
and spare parts;
• Technology development
related to automotive and
mobility; and
• Vehicle and component
testing.
LOCAL
MANUFACTURING
Enhance local manufacturing
of vehicles and components
as well as promotion of
remanufacturing.
ENGINEERING
CAPABILITIES
Enhance local engineering
capabilities in R&D, testing
and technology
development.
LATEST
TECHNOLOGY
TREND
Adopt and adapt the latest
technology trend through
application of IR4.0
technologies.
SUSTAINABLE
DEVELOPMENT
Sustainable development of
the automotive industry
through application of
environmental friendly
products and processes
which aims to reduce carbon
emission etc.
MALAYSIAN VEHICLE PROJECT
MALAYSIAN
VEHICLE
PROJECT
9
Support for PROTON, PERODUA and MODENAS to be continued.
To develop the
ecosystem of NxGV
and Mobility in line
with IR4.0 to meet
NAP Expectation
Focus on local
talent employment
(at 98%)
Significant level of
R&D must be done
locally (top hat,
upper body, etc.)
except for platform
Local majority on
ownership
Private-sector
driven
Focusing on
domestic supply
chain development
(75% local and 25%
foreign vendors)
NAP 2020
1. National Roadmap for Automotive & Mobility Value
Chain (NRAMVC)
2. National Roadmap for Automotive & Mobility Technology
(NRAMT)
3. National Roadmap for Automotive & Mobility Talent
(NRAMTa)
4. National Roadmap for Automotive Aftermarket (NRAA)
5. National Blueprint for Automotive Mobility as a Service
(NBAMaaS)
6. National Blueprint for Automotive Robotics (NBAR)
7. National Blueprint for Automotive Internet of Things (IoT)
(NBAIoT)
NAP 2020 FRAMEWORK
11
THE FRAMEWORK OF THE NAP IS SUPPORTED BY
THE IMPLEMENTATION OF THESE DOCUMENTS:
NAP 2020
NAP 2020
OBJECTIVES
Develop NxGV technology ecosystem to make Malaysia the regional hub for NxGV production.
Expand automotive sector participation in MaaS sector.
Ensure local automotive industry is ready with new automotive paradigm closely related to IR4.0
development.
Ensure whole ecosystem benefits from the spin-off of NxGV implementation.
Reduce vehicle carbon emission by improving fuel economy level in Malaysia by 2025.
12
NEXT
GENERATION
VEHICLE
(NxGV)
• NxGV - vehicle with EEV status and achieve at least Level 3 Automation (Conditional Automation).
• Development of standards by 2021 to ensure market penetration by 2025.
5 LEVELS OF VEHICLE AUTONOMY
14
RAHSIA\
Source: Society of Automotive Engineer - SAE J3016
NEXT
GENERATION
VEHICLE
(NxGV)
STANDARDS TO BE DEVELOPED FOR NxGV
15
•Establishment of
AACV in
specifying its
safety
requirements for
AACV testbed.
• Covering few
vehicle categories
in Malaysia with
regards to the
intelligent mobility
and automation
level features.
Autonomous,
Automated And
Connected
Vehicles (AACV)
Development
•EV Charging
protocol
•Energy
management
system for EV
ecosystem
• Safety usage of
the critical
components
Electric Vehicle
Interoperability
Centre (EVIC)
Energy Efficient
Vehicle (EEV)
and Next
Generation
Vehicles (NxGV)
specifications
• Revise
definition of EEV
and NxGV for
wider scope – all
vehicle category
i) Passenger
Vehicle
ii) Commercial
Vehicle
iii) Motorcycle
MOBILITY AS A SERVICE (MaaS)
MaaS - concept of integrating various types of transport services to centralized mobility services.
16
INDUSTRIAL
REVOLUTION
4.0
(IR 4.0)
Use of IR 4.0-related technology applications especially AI, Big Data Analytics (BDA) and IoT will enable the implementation of NxGV and MaaS.
ENABLINGTECHNOLOGIES
The digitalization of the production -based industries are driven by these
technological drivers
TECHNOLOGIES ADVANCEMENT
AND CONVERGENCE
INDUSTRIALREVOLUTION 4.0 (IR4.0)
1. BIOTECHNOLOGY2. NANOTECHNOLOGY3. QUANTUM
COMPUTING 4. GOVERNANCE5. ETC.
17
19
10% RM 104.2 BIL 250,000 UNITS RM 12.3 BIL
1.35 MIL UNITS
1.47 MIL UNITS
1.0 MIL UNITS 1.22 MIL UNITS RM 2 BIL RM 10 BIL
RM 28.3 BIL
RM 10 BIL
NAP 2020
TARGET (BY 2030)
NAP 2020
TARGET (BY
2030)
NAP 2020
TARGET (BY
2030)
NAP 2020
TARGET
(BY 2030)
NAP 2020
TARGET
(BY 2030)
NAP 2020
TARGET
(BY 2030)
20
87, 520 JOBS128, 000 JOBS 177, 520 JOBS
323, 000 JOBS
80, 000 JOBS
46, 000 JOBS
N/A75, 000 JOBS N/A
44, 000 JOBS
N/A
NAP 2020 TARGET
(BY 2030)NAP 2020
TARGET (BY
2030)
NAP 2020
TARGET (BY
2030)
NAP 2020
TARGET (BY
2030)
NAP 2020 TARGET
(BY 2030)NAP 2020
TARGET (BY
2030)
30, 000 JOBS
Establish two automotive
specialized design and
engineering centers
Establishment of a full-fledged Vehicle
Type Approval (VTA) Testing Centre
Establishment of Vehicle User Solution
Malaysia as the preferred destination (for
investment, research, technology adoption
and human capital development) in areas
related to Green Powertrain Technology,
Advanced Automotive Manufacturing and
Low carbon manufacturing process.
21
N/A
TOTAL – 1, 285 SUPPLIERS
TIER 1 – 400 SUPPLERS
TIER 2 & BELOW – 885 SUPPLIERS
N/A350 ROBOTICS CO.
380 IoT CO.
LVL 5 – 180 CO.
LVL 4 – 330 CO.
LVL 3 – 430 CO.
LVL 5 – 360 CO.
LVL 4 – 660 CO.
LVL 3 – 880 CO.
N/ALEADER – 280 CO.
EXPERIENCED – 500 CO.
LEARNER 660 CO.
Establishment of VTA Testing Centre;
Establishment of Electric Vehicle Interoperability
Centre (EVIC);
Establishment of NxGV Test Bed;
Establishment of Virtual Design Centre;
Establishment of Additive Manufacturing Design
Centre;
Establishment of Robotics & AI Centre;
Establishment of BDA Centre;
Establishment of Digital Twin Centre; and
Establishment of Technology Academy
(Automotive & Overall Mobility).
NAP 2020
TARGET (BY
2030)
NAP 2020
TARGET (BY 2030)
NAP 2020
TARGET (BY 2030)
NAP 2020
TARGET (BY 2030)
NAP 2020
TARGET (BY 2030)
MONITORING
AND
REPORTING
1. Develop and monitor the localautomotive industry will continue tobe led by MITI as the custodian of NAP.
2. Monitoring and reporting of NAP 2020implementation will continue via theMalaysian Automotive Council withYBM MITI as the Chairman andappointed members from Governmentand industry players.
22
Data mining, analysis & analytics
CMV
MA
RII
MA
NU
FA
CT
UR
ING
INN
OV
AT
ION
CE
NT
RE
(MM
IC)
MA
RII
MA
NU
FA
CT
UR
ING
INN
OV
AT
ION
CE
NT
RE
(MM
IC)
Mobility
As A Service (MaaS)
Next Generation
Vehicle (NXGV)
Industrial Revolution (IR) 4.0 including Artificial Intelligence (AI)
NAP 2020
AI Protocol
Digitalization of AfterMarket &
ServicesRegulatory
Framework on
Connectivity
OUTCOME
ENABLERS
Automotive Sustainable Development Incentives
LFB Manufacturing
Biofuel Roadmap -MPIC
EV Interoperability Centre
Big Data Analytics
Cloud Computing
Cybersecurity
Internet of Things
Additive Manufacturing
Drone/UAVConnectivity Technology
Energy Storage Management
Smart City
Intelligent Factory
Augmented Reality (AR)
Simulation
Autonomous RobotSystem Integrator
Intelligent Transportation System
(ITS) & Telematics
NxGV Testbed
Exhaust Emission Lab
I n t e l l e c t u a l P r o p e r t y
L e g a l & R e g u l a t o r y F r a m e w o r k
P h y s I c a l I n f r a s t r u c t u r e
CONNECTED MOBILITY VISION
CONNECTED MOBILITY GENERAL ECOSYSTEM
NxGV will be commucating with the whole ecosystem to further improve
it’s operation which include sensing, cognition, decision and action.
NxGV: Definition
In the NAP 2020, EEV technology will be further enhanced towards NxGV which is
defined as Energy Efficient Vehicle (EEV) powertrain and meet at least Level 3 of
Automated, Autonomous and Connected Vehicle (AACV)*
What does the human in
the driver’s seat have to
do?
What do
these features do?
Example
features
LEVEL 2 LEVEL 3 LEVEL 4 LEVEL 5
You are driving whenever these driver support
features are engaged – even if your feet are off the pedals and you are not steering
You must constantly supervise these support
features; you must steer, brake, or accelerate as needed to maintain safety
You are not driving when these automated driving
features are engaged – even if you are seated in ―the driver‘s seat‖
When the feature requests,
These are driver support features
These features are limited to providing warnings and momentary assistance
• Automatic
emergency braking
• Blind spot warning
• Lane departure warning
These features provide
steering ORbrake/
acceleration support to the driver
• Lane
centering
OR • Adaptive
cruise control
These features provide
steering ANDbrake/
acceleration support to the driver
• Lane
centering
AND • Adaptive
cruise control at the same time
These features can drive the vehicle under limited conditions and will not operate unless all required conditions are met
• Traffic jam chauffeur
• Local driverless taxi
• Pedals/ steering wheel may or may not be installed
• Same as L4, but feature can drive everywhere in all conditions
You must drive
These automated driving features will not require you to take over driving
This feature can drive the vehicle under all conditions
These are automated driving features
Handover
L3: AACV feature will request handover
L4/5: AACV feature will
not request handover
Operation Condition
L3/L4: Preset condition will define
operation.
L5: Unconditional
operating parameters
(geography/use case)
Vehicle Hardware
L4/5: Both can have steering wheel/brake
L4: Can be
controlled by
teleoperation.
1
2
3
LEVEL 1
* To be developed as Malaysian
Standards
Future Sensor
Fusion Solutions
Vehicles will need to
collate various sensor
data to get a complete
picture of the
surrounding, leading
to sensor fusion
Data Storage and
Computing
Data size,
connectivity, and
latency will influence
the adoption of
computing platform
Future
Autonomous
Vehicle Platform
Future vehicle platforms
will be designed to scale
and adopt to L4/L5 AACV
Testing and
Validation
Scenario-based
testing and validation
is considered over
conventional driven
miles methods
NxGV : Key Technology Development
28
NxGV
Implementation
Timeline
Immediate Next-generation focus Future focus
Chassis
Platform
Modifying existing platforms to add redundancies
Dedicated mounting points for mechanical and electrical redundancies for AACV applications (L3)
Fully flexible and scalable platform capable of enabling all levels of AACV (L1–L5)
Services
L2 /L2+/L3 applications for ownership (highway assist, auto lane change, valet parking)
• L3 (auto highway assist, chauffer/summon, and so on)
• L3 for usership (city pilot, chauffer/summon, geolocalized shuttles, and taxis)
Software
Platform
Deterministic s/w clusters for each ADAS
application
AI for core AACV software [Object Classification, path planning] + deterministic
s/w for time critical computing
Driver health and wellbeing – fitness tracking and emergency services
HardwarePlatform
Multiple redundancy and application-specific sensors (Radar, camera, LiDAR, and so on)
Sensor fusion for all ADAS/AACV applications and cross-redundancy between sensors (LiDAR + camera localization, radar + camera annotation, and so on)
Smart sensors and data fusion for low latency and all weather sensing
E/E
Platform
Individual ECUs per applications and multiple protocols (CAN, LIN,
Flexray, Ethernet)
ECU (ADAS ECU, Infotainment ECU) and protocol (CAN FD, Ethernet) consolidation
Centralized and decentralized E/E architecture (domain controllers and smart sensors)
Cloud
Platform
Data storage and annotation
Time uncritical data processing (predictive sensing, V2I, V2P) Data convergence from in-vehicle and mapping
application
Convergence of vehicle/map
and service
data
2027 2025 2030 2020
• L4 R&D activities
29
MALAYSIA AS NxGV TECHNOLOGY FRONTIER
All rights reserved. The material may not be reproduced or distributed, in whole or in part, without the prior written permisMARii.
CONCLUSION
1. Formulated to continue the developmentof local automotive industry and itsoverall ecosystem.
2. To ensure the realisation of the NationalAutomotive Vision.
3. Introduction of new elements intechnology are crucial in ensuring thelocal automotive industry continues togrow and remain competitive.
4. Create new opportunities not onlyfocusing on the automotive sector butalso the services sector.
30